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SynthBoard

Category

AI Decisioning Platform —
multi-LLM decisioning, on demand.

A platform that hands back the decision, not a dashboard. She reads your tools, a board of named experts on different AI models argues the call, and the memo keeps who disagreed. Nothing is written to your tools until you confirm it.

Start free See the platform

An example: she reads Stripe before the board sits, then the call comes back. The email is a draft you confirm — writes are on Pro and above.

In short

What is an AI decisioning platform?

An AI decisioning platform is software that applies AI to the act of making decisions — not just analyzing them. Decision support surfaces data and leaves the call in your head; a decisioning platform hands back the call itself, with its reasoning, for a person to approve, change or reject.

The strongest are multi-agent and multi-LLM: several experts with different lenses, seated on different AI models (OpenAI GPT-5, Anthropic Claude, Google Gemini, xAI Grok), so the disagreement is real rather than staged. SynthBoard is that as a product: 24 named experts, a Chief of Staff who sizes the room to the call, and your decisions kept on file.

Who decides
You. A board of named experts argues and hands back one call; you approve it, change it or reject it.
What it reads
Your connected tools — Stripe, HubSpot, Intercom, Notion, Slack and more — and it says what it read. Every write is a preview you confirm, on Pro and above.
What comes back
The call, the conditions, who disagreed and why, a confidence never above 90, and a first step with a date.
What it costs
One expert reads up to 65 credits on its card; a board on Free reads up to 135 credits. Nothing runs until you tap.

Two decisions

Bring the decision.
Get the call back.

A plan to sunset and a support queue that doubled — one for a board, one for a single expert. Examples, trimmed for length.

Sunset the Starter plan?

Work · Board of 3

Should we sunset our Starter plan? It’s $19 a month, 640 accounts, 4% of revenue — and 38% of our support tickets. Read Stripe and Intercom first.

Chief of staff

I’ll read Stripe and Intercom first, then this goes to a board: The CFO, The Customer and The Operator. Each researches alone, then they react to one another — and on a decision, two of them take opposed sides.

  • The CFOFinancial Controller
  • The CustomerUser Voice
  • The OperatorCOO

Asked first

Do Starter accounts ever move up to Growth?

OftenSometimesRarely

The board’s call

Close Starter to new signups in May; move today’s 640 accounts to Growth at $19 for twelve months.

Starter brings 4% of revenue and 38% of the tickets. Closing it to new signups stops the cost growing; honoring the price keeps the accounts most likely to upgrade.

Confidence67 · Moderate

The Customer disagreed

“Twelve months at $19 still ends in a price rise they didn’t choose. Some will leave then.”

First step Draft the email to the 640 Starter accountsby May 1

Board of 3 · up to 135 credits on the card · an example, not a recorded run

Hire, or buy a tool?

Work · One expert

Support tickets doubled since March. Hire two support agents at $55k each, or buy an AI support tool at $1,800 a month?

Chief of staff

One expert can take this: The Operator. It turns on what the tickets are, so they’ll ask that first.

  • The OperatorCOO

Asked first

What share of the tickets are the same few questions?

MostAbout halfFew

The call · The Operator

Buy the tool for one quarter, and hire one agent, not two.

About half your tickets are the same few questions, and a tool can take those. The other half need a person who knows the product; one hire covers them at today’s volume. Decide the second hire in July, on the numbers.

One expert · up to 65 credits on the card · an example, not a recorded run

What makes it decisioning

A call, not a chart.
With the dissent kept.

Several experts, several models

Each seat researches alone, then reacts once to the others. On a decision two are assigned opposed positions, and the seats are spread across model families, so no one model’s habits settle the call.

They ask what the data can’t tell them

When the call turns on something your tools don’t hold, the expert asks first. Tap a chip, or ask for their best guess.

Every call stays on file

What you decided stays on file, marked when it has aged and yours to correct. When a new ask would reverse a call you made, she says so first.

A first step, with a date

The call ends in one first step with a date. It waits under Open and gets one check-in on its day.

Governed by default

Private to your account. Your tools are read until you allow writing, every write is a preview you confirm, and every tool call leaves an audit record.

Compared

Decisioning vs decision support.
Each has a job.

Decision support (BI, dashboards)Single-AI chatSynthBoard
OutputData, charts, summariesOne AI’s answerOne call from several experts, with the dissent kept
DisagreementNone — neutralNone — agreement-biasedOpposed seats on every decision
MemoryYes — your dataLimited, per conversationYour decisions on file, yours to correct
Follow-throughManualNoneA dated first move, and one check-in on the day
ActionRead-onlySuggestionsWrites to your tools only after you confirm
Best forReporting and analysisDrafts and Q&ADecisions where being wrong is expensive

Dashboards tell you what happened. A decisioning platform hands back what to do about it — and the call stays yours.

Who sits

Who sits on the call.
Each one holds a position.

The experts most often seated on an operating decision. She proposes who sits; name anyone you want on the board.

Pick an expert

Hover, tap or tab throughSwipe, then tap one
  • GPT
  • Claude
  • Gemini
  • Grok

Seats are spread across model families: GPT, Claude, Gemini, Grok and more.

Questions

Fair questions.
Straight answers.

What people ask before they hand a decision to a platform.

What is an AI decisioning platform?

An AI decisioning platform is software that applies AI to the act of making decisions — not just analyzing them. The strongest decisioning platforms are multi-agent and multi-LLM: they convene multiple expert AI models, route each to the model that fits its reasoning style, structure disagreement, and produce one recommendation that keeps the minority opinions. SynthBoard is the productized form — 24 named expert advisors, a Chief of Staff who sizes the room to the call, and seats spread across model families.

How is "decisioning" different from "decision support"?

Decision support tools surface data; the decision still happens in the human's head. Decisioning platforms produce the recommendation itself, with reasoning attached, ready for a human to approve, reject, or override. SynthBoard sits in the decisioning category — the board produces a clear call with the dissent, what would change it, and next steps. You make the final call.

Why does multi-LLM matter for decisioning?

Single-LLM decisioning inherits the blind spots of a single provider. Different model families have different biases, training data and failure modes. A board spreads its seats across different AI models (OpenAI GPT-5, Anthropic Claude, Google Gemini, xAI Grok), so no one model’s habits settle the call. Disagreement becomes real rather than theatrical.

What kinds of decisions does an AI decisioning platform handle?

Strategic, operational, financial, hiring, vendor selection, M&A, pricing, product, market entry, and high-stakes personal decisions. Anywhere the cost of being wrong is significant and the value of structured disagreement is high. The board is proposed for each decision, so a pricing call and a hiring call get different experts.

Is this for enterprise or for individuals?

SynthBoard is built for the person who carries the call. It is free to start (250 credits to start + 150 monthly), with paid plans — Pro ($20), Max ($50), Ultra ($99) a month — for more credits, more seats and stronger models. Companies buying for a team can talk to us about Enterprise.

How does SynthBoard compare to legacy decisioning platforms (e.g., Cloverpop)?

Legacy decisioning platforms like Cloverpop focus on logging, routing, and tracking decisions that already exist. SynthBoard focuses on producing the decision itself with multi-agent reasoning. They serve different layers of the stack — SynthBoard is upstream of where Cloverpop sits.

Does the platform remember my decisions?

Yes. What you decided stays on file, marked when it has aged, yours to correct or wipe. When a new ask would reverse a call you made, your Chief of Staff says so first. Your first move gets a date, and she checks in once, on that day.

Is it API-first?

Yes. SynthBoard ships a REST API with signed webhooks and an MCP server (Claude Desktop, Cursor, ChatGPT, Windsurf, Zed). Automation platforms like Zapier, n8n, and Make can drive it today. You can call the decisioning engine from any agent, workflow, or product.

Next

SynthBoard (synthboard.ai) is one place for your business, your life, and every hard call. Your Chief of Staff keeps what you tell her on file, and 24 named experts on different AI models take the calls — one expert for a consult, a board with opposed seats for the hard ones — and hand back a memo with the call, the dissent and the first move. How it works.

Bring a decision, not a dashboard.
Start free, with one message.

Should we sunset our Starter plan?Hire two agents or buy a support tool?Read Stripe, then tell me what to cut

It waits in her box after you sign up. Nothing is sent until you press send.